Digital signal processing and data analysis are very often used methods in a biomedical engineering research. This paper describes utilization of digital signal filtering on electrocardiogram (ECG). Designed filters are focused on... more
Digital signal processing and data analysis are very often used methods in a biomedical engineering research. This paper describes utilization of digital signal filtering on electrocardiogram (ECG). Designed filters are focused on removing supply network 50 Hz frequency and breathing muscle artefacts. Moreover, this paper contains description of three heart rate frequency detection algorithms from ECG. Algorithms are based on statistical and differential mathematical methods. All of the methods are compared on stress test measurements. All described methods are suitable for next simple implementation to a microprocessor for real-time signal processing and analysing.
